Researcher Image
قتيبة ممتاز داود سلمان - QUTAIBA MUMTAZ DAWOOD SALMAN
PhD - lecturer
College of languages , Deanship
[email protected]
Summary

I am a highly accomplished individual with a strong educational background and extensive experience in the field of computer science. I hold a Bachelor's degree in Computer Science from Almansure University, where I consistently achieved top-class honors throughout my four years of study. This solid foundation in computer science laid the groundwork for my future academic and professional success.

Following the completion of my undergraduate studies, I pursued a Master's degree in Computer Science from Bangalore University in 2012. This program allowed me to further deepen my knowledge and expertise in the field, equipping me with advanced skills and insights into emerging technologies.

Driven by a passion for research and a desire to contribute to the academic community, I embarked on a Ph.D. journey at Acharya Nagerjuna University. After years of dedicated research and rigorous study, I successfully defended my doctoral thesis in 2021. My Ph.D. research focused on data deduplication and e-voting systems, areas that are crucial in today's digital landscape.

Qualifications

Ph.D in Computer Science

Responsibility

****Responsible of Information Technology Division manager -College of languages, University of Baghdad



Awards and Memberships

Certificate of Appreciation from the President of the University of Baghdad For developing a Final Exam Question Analysis Program that enhances the quality of assessments and alignment with learning outcomes, contributing significantly to academic evaluation and educational quality.

Research Interests

Throughout my academic and professional journey, I have consistently demonstrated a strong aptitude for problem-solving, critical thinking, and innovation. I am highly skilled in data deduplication techniques, which have proven to be invaluable in optimizing storage efficiency and reducing redundancy. Additionally, my expertise in e-voting systems has allowed me to contribute to the development of secure and transparent electoral processes

Academic Area

Computer Science – with a focus on Information Technology, Digital Transformation in Education, Cybersecurity Awareness, and Educational Software Development.

Teaching materials
Material
College
Department
Stage
Download
PowerPoint
كلية اللغات
العمادة
Stage 2
Teaching

Microsoft Office Applications (Excel, Word, PowerPoint) Digital Transformation Tools in Education Cybersecurity Awareness Artificial Intelligence (AI) Applications in Education and Administration Educational Software Development Fundamentals of Computer Science

Publication Date
Fri Jun 01 2018
Journal Name
International Journal Of Computer Science Trends And Technology
Secure Video Data Deduplication in the Cloud Storage Using Compressive Sensing
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Cloud storage provides scalable and low cost resources featuring economies of scale based on cross-user architecture. As the amount of data outsourced grows explosively, data deduplication, a technique that eliminates data redundancy, becomes essential. The most important cloud service is data storage. In order to protect the privacy of data owner, data are stored in cloud in an encrypted form. However, encrypted data introduce new challenges for cloud data deduplication, which becomes crucial for data storage. Traditional deduplication schemes cannot work on encrypted data. Existing solutions of encrypted data deduplication suffer from security weakness. This paper proposes a combined compressive sensing and video deduplication to maximize

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Publication Date
Tue May 01 2018
Journal Name
International Journal Of Computer Trends And Technology
Two Phase Approach for Copyright Protection and Deduplication of Video Content in Cloud using H.264 and SHA-512
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Cloud computing offers a new way of service provision by rearranging various resources over the Internet. The most important and popular cloud service is data storage. In order to preserve the privacy of data holders, data are often stored in cloud in an encrypted form. However, encrypted data introduce new challenges for cloud data deduplication, which becomes crucial for big data storage and processing in the cloud. Traditional deduplication schemes cannot work on encrypted data. Among these data, digital videos are fairly huge in terms of storage cost and size; and techniques that can help the legal aspects of video owner such as copyright protection and reducing the cloud storage cost and size are always desired. This paper focuses on v

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Crossref
Publication Date
Tue Nov 01 2016
Journal Name
Iosr Journal Of Computer Engineering
Implementation of new Secure Mechanism for Data Deduplication in Hybrid Cloud
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Cloud computing provides huge amount of area for storage of the data, but with an increase of number of users and size of their data, cloud storage environment faces earnest problem such as saving storage space, managing this large data, security and privacy of data. To save space in cloud storage one of the important methods is data deduplication, it is one of the compression technique that allows only one copy of the data to be saved and eliminate the extra copies. To offer security and privacy of the sensitive data while supporting the deduplication, In this work attacks that exploit the hybrid cloud deduplication have been identified, allowing an attacker to gain access to the files of other users based on very small hash signatures of

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